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Gibbs, Benjamin G.; Shafer, Kevin; Miles, Aaron – International Journal of Research & Method in Education, 2017
While the use of inferential statistics is a nearly universal practice in the social sciences, there are instances where its application is unnecessary and potentially misleading. This is true for a portion of research using administrative data in educational research in the United States. Surveying all research articles using administrative data…
Descriptors: Statistical Inference, Statistics, Data, Information Utilization
Eide, Eric R.; Showalter, Mark H. – Economics of Education Review, 2012
Professors Richard J. Murnane and John B. Willett set out to capitalize on recent developments in education data and methodology by attempting to answer the following questions: How can new methods and data be applied most effectively in educational and social science research? What kinds of research designs are most appropriate? What kinds of…
Descriptors: Social Science Research, Research Methodology, Audiences, Usability
Dierdorp, Adri; Bakker, Arthur; Eijkelhof, Harrie; van Maanen, Jan – Mathematical Thinking and Learning: An International Journal, 2011
To support 11th-grade students' informal inferential reasoning, a teaching and learning strategy was designed based on authentic practices in which professionals use correlation or linear regression. These practices included identifying suitable physical training programmes, dyke monitoring, and the calibration of measurement instruments. The…
Descriptors: Statistical Inference, Abstract Reasoning, Grade 11, Secondary School Students
Savalei, Victoria; Yuan, Ke-Hai – Multivariate Behavioral Research, 2009
Evaluating the fit of a structural equation model via bootstrap requires a transformation of the data so that the null hypothesis holds exactly in the sample. For complete data, such a transformation was proposed by Beran and Srivastava (1985) for general covariance structure models and applied to structural equation modeling by Bollen and Stine…
Descriptors: Statistical Inference, Goodness of Fit, Structural Equation Models, Transformations (Mathematics)